What Is Technical Debt? A Complete Guide

You buy the latest iPhone on credit. Turn to fast car loan services to get yourself those wheels you’ve been eyeing for a while. Take out a mortgage to realise your dream of being a homeowner. Regardless of the motive, the common denominator is going into financial debt to achieve something today, and pay it off in future, with interest. The final cost will be higher than the loan value that you took out in the first place. However, debt is not limited to the financial world.

Technical Debt Definition

Technical debt – which is also referred to as code debt, design debt or tech debt – is the result of the development team taking shortcuts in the code to release a product today, which will need to be fixed later on. The quality of the code takes a backseat to issues like market forces, such as when there’s pressure to get a product out there to beat a deadline, front-run the competition, or even calm jittery consumers. Creating perfect code would take time, so the team opts for a compromised version, which they will come back later to resolve. It’s basically using a speedy temporary fix instead of waiting for a more comprehensive solution whose development would be slower.

How rampant is it? 25% of the development time in large software organisations is actually spent dealing with tech debt, according to a multiple case study of 15 organizations. “Large” here means organizations with over 250 employees. It is estimated that global technical debt will cost companies $4 trillion by 2024.

Is there interest on technical debt?

When you take out a mortgage or service a car loan, the longer that it takes to clear it the higher the interest will be. A similar case applies to technical debt. In the rush to release the software, it comes with problems like bugs in the code, incompatibility with some applications that would need it, absent documentation, and other issues that pop up over time. This will affect the usability of the product, slow down operations – and even grind systems to a halt, costing your business. Here’s the catch: just like the financial loan, the longer that one takes before resolving the issues with rushed software, the greater the problems will pile up, and more it will take to rectify and implement changes. This additional rework that will be required in future is the interest on the technical debt.

Reasons For Getting Into Technical Debt

In the financial world, there are good and bad reasons for getting into debt. Taking a loan to boost your business cashflow or buy that piece of land where you will build your home – these are understandable. Buying an expensive umbrella on credit because ‘it will go with your outfit‘ won’t win you an award for prudent financial management. This also applies to technical debt.

There are situations where product delivery takes precedence over having completely clean code, such as for start-ups that need their operations to keep running for the brand to remain relevant, a fintech app that consumers rely on daily, or situations where user feedback is needed for modifications to be made to the software early. On the other hand, incurring technical debt because the design team chooses to focus on other products that are more interesting, thus neglecting the software and only releasing a “just-usable” version will be a bad reason.

Some of the common reasons for technical debt include:

  • Inadequate project definition at the start – Where failing to accurately define product requirements up-front leads to software development that will need to be reworked later
  • Business pressure – Here the business is under pressure to release a product, such as an app or upgrade quickly before the required changes to the code are completed.
  • Lacking a test suite – Without the environment to exhaustively check for bugs and apply fixes before the public release of a product, more resources will be required later to resolve them as they arise.
  • Poor collaboration – From inadequate communication amongst the different product development teams and across the business hierarchy, to junior developers not being mentored properly, these will contribute to technical debt with the products that are released.
  • Lack of documentation – Have you launched code without its supporting documentation? This is a debt that will need to be fulfilled.
  • Parallel development – This is seen when working on different sections of a product in isolation which will, later on, need to be merged into a single source. The greater the extent of modification on an individual branch – especially when it affects its compatibility with the rest of the code, the higher the technical debt.
  • Skipping industrial standards – If you fail to adhere to industry-standard features and technologies when developing the product, there will be technical debt because you will eventually need to rework the product to align with them for it to continue being relevant.
  • Last-minute product changes – Incorporating changes that hadn’t been planned for just before its release will affect the future development of the product due to the checks, documentation and modifications that will be required later on

Types of Technical Debt

There are various types of technical debt, and this will largely depend on how you look at it.

  • Intentional technical debt – which is the debt that is consciously taken on as a strategy in the business operations.
  • Unintentional technical debt – where the debt is non-strategic, usually the consequences of a poor job being done.

This is further expounded in the Technical Debt Quadrant” put forth by Martin Fowler, which attempts to categorise it based on the context and intent:

Technical Debt Quadrant

Source: MartinFowler.com

Final thoughts

Technical debt is common, and not inherently bad. Just like financial debt, it will depend on the purpose that it has been taken up, and plans to clear it. Start-ups battling with pressure to launch their products and get ahead, software companies that have cut-throat competition to deliver fast – development teams usually find themselves having to take on technical debt instead of waiting to launch the products later. In fact, nearly all of the software products in use today have some sort of technical debt.

But no one likes being in debt. Actually, technical staff often find themselves clashing with business executives as they try to emphasise the implications involved when pushing for product launch before the code is completely ready. From a business perspective, it’s all about weighing the trade-offs, when factoring in aspects such as the aspects market situation, competition and consumer needs. So, is technical debt good or bad? It will depend on the context. Look at it this way: just like financial debt, it is not a problem as long as it is manageable. When you exceed your limits and allow the debt to spiral out of control, it can grind your operations to a halt, with the ripple effects cascading through your business.

 

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How to Reduce Costs when Complying with SOX 404

Section 404 contains the most onerous and most costly requirements you’ll ever encounter in the Sarbanes-Oxley Act (SOX). In this article, we?ll take a closer look at the salient points of this contentious piece of legislation as it relates to IT. We?ll also explain why companies are encountering difficulties in complying with it.

Then as soon as we’ve tackled the main issues of this section and identify the pitfalls of compliance, we can then proceed with a discussion of what successful CIOs have done to eliminate those difficulties and consequently bring down their organisation’s IT compliance costs. From this post, you can glean insights that can help you plan a cost-effective way of achieving IT compliance with SOX.

SOX 404 in a nutshell

Section 404 of the Sarbanes-Oxley Act, entitled Management Assessment of Internal Controls, requires public companies covered by the Act to submit an annual report featuring an assessment of their company?s internal controls.

This ?internal control report? should state management’s responsibility in establishing/maintaining an adequate structure and a set of procedures for internal control over your company?s financial reporting processes. It should also contain an assessment of the effectiveness of those controls as of the end of your most recent fiscal year.

Because SOX also requires the public accounting firm that conducts your audit reports to attest to and report on your assessments, you can’t just make baseless claims regarding the effectiveness of your internal controls. As a matter of fact, you are mandated by both SEC and PCAOB to follow widely accepted control frameworks like COSO and COBIT. This framework will serve as a uniform guide for the internal controls you set up, the assessments you arrive at, and the attestation your external auditor reports on.

Why compliance of Section 404 is costly

Regardless which of the widely acceptable control frameworks you end up using, you will always be asked to document and test your controls. These activities can consume a considerable amount of man-hours and bring about additional expenses. Even the mere act of studying the control framework and figuring out how to align your current practices with it can be very tricky and can consume precious time; time that can be used for more productive endeavours.

Of course, there are exceptions. An organisation with highly centralised operations can experience relative ease and low costs while implementing SOX 404. But if your organisation follows a largely decentralised operation model, e.g. if you still make extensive use of spreadsheets in all your offices, then you’ll surely encounter many obstacles.

According to one survey conducted by FEI (Financial Executives International), an organisation that carried out a series of SOX-compliance-related surveys since the first year of SOX adoption, respondents with centralised operations enjoyed lower costs of compliance compared to those with decentralised operations. For example, in 2007, those with decentralised operations spent 30.1 % more for compliance than those with centralised operations.

The main reason for this disparity lies in the disorganised and complicated nature of spreadsheet systems.

Read why spreadsheets post a burden when complying with SOX and other regulations.

Unfortunately, a large number of companies still rely heavily on spreadsheets. Even those with expensive BI (Business Intelligence) systems still use spreadsheets as an ad-hoc tool for data processing and reporting.

Because compliance with Section 404 involves a significant amount of fixed costs, smaller companies tend to feel the impact more. This has been highlighted in the ?Final Report of the Advisory Committee on Smaller Public Companies? published on April 23, 2006. In that report, which can be downloaded from the official website of the US Securities and Exchange Commission, it was shown that:

  • Companies with over $5 Billion revenues spent only about 0.06% of revenues on Section 404 implementation
  • Companies with revenues between $1B – $4.9B spent about 0.16%
  • Companies with revenues between $500M – $999M spent about 0.27%
  • Companies with revenues between $100M – $499M spent about 0.53%
  • Companies with revenues less than $100M spent a whopping 2.55% on Section 404

Therefore, not only can you discern a relationship between the size of a company and the amount that the company ends up spending for SOX 404 relative to its revenues, but you can also clearly see that the unfavourable impact of Section 404 spending is considerably more pronounced in the smallest companies. Hence, the smaller the company is, the more crucial it is for that company to find ways that can bring down the costs of Section 404 implementation.

How to alleviate costs of section 404

If you recall the FEI survey mentioned earlier, it was shown that organisations with decentralised operations usually ended up spending more for SOX 404 implementation than those that had a more centralized model. Then in the ?Final Report of the Advisory Committee on Smaller Public Companies?, it was also shown that public companies with the smallest revenues suffered a similar fate.

Can we draw a line connecting those two? Does it simply mean that large spending on SOX affects two sets of companies, i.e., those that have decentralised operations and those that are small? Or can there be an even deeper implication? Might it not be possible that these two sets are actually one and the same?

From our experience, small companies are less inclined to spend on server based solutions compared to the big ones. As a result, it is within this group of small companies where you can find a proliferation of spreadsheet systems. In other words, small companies are more likely to follow a decentralised model. Spreadsheets were not designed to implement strict control features, so if you want to apply a control framework on a spreadsheet-based system, it won’t be easy.

For example, how are you going to conduct testing on every single spreadsheet cell that plays a role in financial reporting when the spreadsheets involved in the financial reporting process are distributed across different workstations in different offices in an organisation with a countrywide operation?

It’s really not a trivial problem.

Based on the FEI survey however, the big companies have already found a solution – employing a server-based system.

Typical server based systems, which of course espouse a centralised model, already come with built-in controls. If you need to modify or add more controls, then you can do so with relative ease because practically everything you need to do can be carried out in just one place.

For instance, if you need to implement high availability or perform backups, you can easily apply redundancy in a cost-effective way – e.g. through virtualisation – if you already have a server-based system. Aside from cost-savings in SOX 404 implementation, server-based systems also offer a host of other benefits. Click that link to learn more.

Not sure how to get started on a cost-effective IT compliance initiative for SOX? You might want to read our post How To Get Started With Your IT Compliance Efforts for SOX.?

Which Services to Share?

It often makes sense to pool resources. Farmers have been doing so for decades by collectively owning expensive combine harvesters. France, Germany, the United Kingdom and Spain have successfully pooled their manufacturing power to take on Boeing with their Airbus. But does this mean that shared services are right in every situation?

The Main Reasons for Sharing

The primary argument is economies of scale. If the Airbus partners each made 25% of the engines their production lines would be shorter and they would collectively need more technicians and tools. The second line of reasoning is that shared processes are more efficient, because there are greater opportunities for standardisation.

Is This the Same as Outsourcing?

Definitely not! If France, Germany, the United Kingdom and Spain has decided to form a collective airline and asked Boeing to build their fleet of aircraft, then they would have outsourced airplane manufacture and lost a strategic industry. This is where the bigger picture comes into play.

The Downside of Sharing

Centralising activities can cause havoc with workflow, and implode decentralised structures that have evolved over time. The Airbus technology called for creative ways to move aircraft fuselages around. In the case of farmers, they had to learn to be patient and accept that they would not always harvest at the optimum time.

Things Best Not Shared

Core business is what brings in the money, and this should be tailor-made to its market. It is also what keeps the company afloat and therefore best kept on board. The core business of the French, German, United Kingdom and Spanish civilian aircraft industry is transporting passengers. This is why they are able to share an aircraft supply chain that spun off into a commercial success story.

Things Best Shared

It follows that activities that are neither core nor place bound – and can therefore happen anywhere ? are the best targets for sharing. Anything processed on a computer can be processed on a remote computer. This is why automated accounting, stock control and human resources are the perfect services to share.

So Case Closed Then?

No, not quite. ?Technology has yet to overtake our humanity, our desire to feel part of the process and our need to feel valued. When an employee, supplier or customer has a problem with our administration it’s just not good enough to abdicate and say ?Oh, you have to speak to Dublin, they do it there?.

Call centres are a good example of abdication from stakeholder care. To an extent, these have ?confiscated? the right of customers to speak to speak directly to their providers. This has cost businesses more customers that they may wish to measure. Sharing services is not about relinquishing the duty to remain in touch. It is simply a more efficient way of managing routine matters.

The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.

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